Studies of the computational error in the probabilistic eigenvalue analysis

Jianfen Zhang, C. T. Tse, Kewen Wang, C. Y. Chung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Several models for probabilistic eigenvalue analysis are comparatively studied in computational precision in this paper. The focus is on the computational errors of eigenvalue expectation and variance, as well as the high cumulants. Based on particular testing systems, the study provides a useful error comparison for further application.

Original languageEnglish
Title of host publicationProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages729-733
Number of pages5
ISBN (Print)0780382374, 9780780382374
DOIs
Publication statusPublished - Oct 2004
EventProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004) - Hong Kong, China
Duration: 5 Apr 20048 Apr 2004

Publication series

NameProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)
Volume2

Conference

ConferenceProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)
Country/TerritoryChina
CityHong Kong
Period5/04/048/04/04

Keywords

  • Eigenvalue
  • Probability
  • Stability

ASJC Scopus subject areas

  • General Engineering

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